Early warnings of heart rate deterioration

Vânia G. Almeida, Ian T. Nabney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hospitals can experience difficulty in detecting and responding to early signs of patient deterioration leading to late intensive care referrals, excess mortality and morbidity, and increased hospital costs. Our study aims to explore potential indicators of physiological deterioration by the analysis of vital-signs. The dataset used comprises heart rate (HR) measurements from MIMIC II waveform database, taken from six patients admitted to the Intensive Care Unit (ICU) and diagnosed with severe sepsis. Different indicators were considered: 1) generic early warning indicators used in ecosystems analysis (autocorrelation at-1-lag (ACF1), standard deviation (SD), skewness, kurtosis and heteroskedasticity) and 2) entropy analysis (kernel entropy and multi scale entropy). Our preliminary findings suggest that when a critical transition is approaching, the equilibrium state changes what is visible in the ACF1 and SD values, but also by the analysis of the entropy. Entropy allows to characterize the complexity of the time series during the hospital stay and can be used as an indicator of regime shifts in a patient’s condition. One of the main problems is its dependency of the scale used. Our results demonstrate that different entropy scales should be used depending of the level of entropy verified.
Original languageEnglish
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherIEEE
Pages940-943
Number of pages4
ISBN (Print)978-1-4577-0220-4
DOIs
Publication statusPublished - 13 Oct 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States
Duration: 16 Aug 201620 Aug 2016

Publication series

Name
ISSN (Electronic)1558-4615

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2016
CountryUnited States
CityOrlando
Period16/08/1620/08/16

Fingerprint

Entropy
Deterioration
Heart Rate
Intensive care units
Vital Signs
Hospital Costs
Critical Care
Autocorrelation
Ecosystems
Ecosystem
Intensive Care Units
Time series
Length of Stay
Sepsis
Referral and Consultation
Databases
Morbidity
Mortality
Costs

Bibliographical note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Cite this

Almeida, V. G., & Nabney, I. T. (2016). Early warnings of heart rate deterioration. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 940-943). IEEE. https://doi.org/10.1109/EMBC.2016.7590856
Almeida, Vânia G. ; Nabney, Ian T. / Early warnings of heart rate deterioration. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. IEEE, 2016. pp. 940-943
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Almeida, VG & Nabney, IT 2016, Early warnings of heart rate deterioration. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. IEEE, pp. 940-943, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7590856

Early warnings of heart rate deterioration. / Almeida, Vânia G.; Nabney, Ian T.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. IEEE, 2016. p. 940-943.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Almeida VG, Nabney IT. Early warnings of heart rate deterioration. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. IEEE. 2016. p. 940-943 https://doi.org/10.1109/EMBC.2016.7590856